Every step you fake: a comparative analysis of fitness tracker privacy and security

By A. Hilts, Christopher Parsons, Jeffrey Knockel. 2016

93 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Florian Schaub
2. Henry Corrigan-Gibbs
3. Dan Boneh
4. Joshua Gluck
5. Norman M. Sadeh
6. Lorrie Faith Cranor
7. Francesca Meneghello
8. Hana Habib

Citations in the corpus

• Prio: Private, Robust, and Scalable Computation of Aggregate Statistics (2017, background): “Fitness tracking services collect information on their users’ physical activity so that each user can see how her fitness regimen compares to the average [75].”
• IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices (2019, methodology): “Furthermore, the analysis in [79] shows that, in most cases, fitness tracking applications transmit every logged event over the Internet, and in some cases, it is even unclear why such transmissions are occurring.”
• How Short Is Too Short? Implications of Length and Framing on the Effectiveness of Privacy Notices (2016, background): “Here we discuss prior work on privacy notice design in three areas: short-form privacy notices, framing, and delivery methods.”